A water supply network leak detection method and device based on satellite and DMA partitioning

Abstract

The present invention discloses a water supply network leak detection method and device based on satellite and DMA partitioning, and relates to the field of image processing technology. The present invention realizes efficient, accurate and low-cost water supply network leak detection by combining satellite leak detection technology and DMA partitioning metering technology, effectively reduces the leakage rate of the water supply network, improves water supply efficiency, ensures water supply safety, and promotes water resource conservation and urban sustainable development. The invention combines the rapid identification of suspected leakage points by satellite leak detection technology with the precise positioning of leakage points by DMA partitioning metering technology, effectively improves the efficiency and accuracy of leak detection, reduces the cost of leak detection, timely discovers and repairs small leaks, ensures water supply safety, and promotes water resource conservation and urban sustainable development.

Description

Technical Field

[0001] The invention discloses a water supply network leakage detection method and device based on satellite and DMA partition, and relates to the technical field of image processing. Background Art

[0002] In recent years, with the acceleration of urbanization, the scale of water supply networks in major cities in my country has become increasingly large, and at the same time, it is facing more and more challenges. In some cities, pipe bursts occur frequently due to reasons such as aging pipes, material defects, and poor construction quality. These accidents not only lead to a large waste of water resources, but also seriously affect the normal lives of residents and the normal operation of cities.

[0003] Traditional methods for detecting leaks in water supply networks mainly include ground leak listening, pressure testing, and tracer testing. These methods have limitations such as low efficiency, high cost, and difficulty in detecting small leaks, and are difficult to meet the needs of modern water supply network management. First, with the continuous advancement of urbanization, the municipal water supply network covers a wide range, has long pipelines, and has many branches, making leak detection difficult. Secondly, some pipelines are seriously aged and have a large number of hidden dangers, requiring regular inspection and maintenance. In addition, traditional leak detection methods, such as ground leak listening, require a lot of manpower and material resources, and are greatly affected by factors such as weather and environment. It is difficult to carry out large-scale and efficient leak detection, and it is difficult to detect small leaks. Pressure testing requires closing some valves, which affects normal water supply, and it is difficult to determine the specific location of the leakage point, which has a great impact on the pressure of the network. Tracer detection requires professional equipment and personnel, and is costly and may cause pollution to the environment. Therefore, it is of great practical significance to develop an efficient, accurate, and low-cost method for detecting leaks in water supply networks.

[0004] Leakage in the water supply network will lead to waste of water resources and increase water supply costs. Leakage in the water supply network may also lead to water pollution and affect water supply safety. Leakage in the water supply network will also lead to safety hazards such as road collapse, affecting traffic safety and urban environment. Therefore, reducing the leakage rate of the water supply network, improving water supply efficiency, and ensuring water supply safety are important tasks in the current management of municipal water supply networks. Summary of the invention

[0005] In view of the problems of the prior art, the present invention provides a water supply network leak detection method and device based on satellite and DMA partitioning, and the technical solution adopted is:

[0006] In the first aspect, a water supply network leak detection method based on satellite and DMA partitioning is provided, the method comprising:

[0007] S1, acquiring full polarization image data of a target area by using satellite image acquisition, and extracting soil moisture information according to the full polarization image data;

[0008] S2, extracting the dielectric constant through preprocessing according to the full polarization image data, and identifying the suspected leakage point through leakage assessment;

[0009] S3, according to the suspected leakage point and leakage assessment, obtaining the scope of the key inspection area; and determining the location of the leakage point through a long-wave radar satellite;

[0010] S4, locating the leakage point, repairing it and conducting a repair acceptance.

[0011] In some implementations, based on the full polarization image data, DMA area data is monitored and collected; the DMA area data includes water inlet flow, pressure, and minimum flow data at night.

[0012] In some implementations, the S1 specifically includes:

[0013] S11, the satellite image acquisition acquires full polarization image data of the target area through long-wave radar satellite acquisition;

[0014] S12, determining the resolution of the full polarization image data according to the size of the target area and the requirement of leakage point identification.

[0015] In some implementations, the S2 specifically includes:

[0016] S21, removing noise and interference information by using an image processing algorithm according to the full polarization image data;

[0017] S22, extracting the dielectric constant in each pixel by using polarization synthetic aperture radar technology according to the full polarization image data;

[0018] S23, analyzing the soil moisture content according to the dielectric constant;

[0019] S24, identifying suspected leakage points according to the change in soil moisture content;

[0020] S25, identifying and marking the suspected leakage points through image segmentation and feature extraction to form a suspected leakage point map.

[0021] In a second aspect, an embodiment of the present invention provides a water supply network leak detection device based on satellite and DMA partitions, the device comprising:

[0022] An acquisition module is used to acquire full polarization image data of a target area using satellite image acquisition, and extract soil moisture information based on the full polarization image data;

[0023] An analysis module, configured to extract the dielectric constant through preprocessing according to the full polarization image data, and identify the suspected leakage point through leakage assessment;

[0024] A positioning module is used to obtain the scope of the key inspection area based on the suspected leakage point and leakage assessment; and to determine the location of the leakage point through a long-wave radar satellite;

[0025] The repair module is used to locate the leakage point, perform repair processing and conduct repair acceptance.

[0026] In some implementations, the acquisition module is used to monitor and collect DMA area data based on the full polarization image data; the DMA area data includes water inlet flow, pressure, and minimum flow data at night.

[0027] In some implementations, the acquisition module specifically includes:

[0028] An image unit, used for the satellite image acquisition to acquire full polarization image data of the target area through long-wave radar satellite acquisition;

[0029] The processing unit is used to determine the resolution of the full polarization image data according to the size of the target area and the requirement of leakage point identification.

[0030] In some implementations, the parsing module specifically includes:

[0031] An optimization unit, configured to remove noise and interference information through an image processing algorithm according to the full polarization image data;

[0032] An extraction unit, configured to extract the dielectric constant in each pixel by using polarization synthetic aperture radar technology according to the full polarization image data;

[0033] A water unit, used for analyzing the soil water content according to the dielectric constant;

[0034] An identification unit, used to identify suspected leakage points according to the change of soil moisture content;

[0035] The marking unit is used to identify and mark the suspected leakage points through image segmentation and feature extraction to form a suspected leakage point map.

[0036] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer instructions, wherein when the one or more computer instructions are executed by the processor, the method described in the first aspect above is implemented.

[0037] In a fourth aspect, an embodiment of the present invention provides a computer storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it is used to implement the method described in the first aspect.

[0038] One or more embodiments of the present invention can bring at least the following beneficial effects:

[0039] By combining satellite leak detection technology and DMA zone metering technology, efficient, accurate and low-cost water supply network leak detection can be achieved, effectively reducing the leakage rate of the water supply network, improving water supply efficiency, ensuring water supply safety, and promoting water resource conservation and urban sustainable development. This invention combines the rapid identification of suspected leak points with the precise positioning of leak points using satellite leak detection technology and DMA zone metering technology, effectively improving leak detection efficiency and accuracy, reducing leak detection costs, timely discovering and repairing small leaks, ensuring water supply safety, and promoting water resource conservation and urban sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0041] Figure 1 The present invention provides a flow chart of a water supply network leak detection method based on satellite and DMA partitioning. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0043] Embodiment 1:

[0044] Figure 1 A flow chart of a water supply network leak detection method based on satellite and DMA partition is shown, as Figure 1 As shown, the water supply network leak detection method based on satellite and DMA partitioning provided in this embodiment includes:

[0045] S1, acquiring full polarization image data of a target area by using satellite image acquisition, and extracting soil moisture information according to the full polarization image data;

[0046] S2, extracting the dielectric constant through preprocessing according to the full polarization image data, and identifying the suspected leakage point through leakage assessment;

[0047] S3, according to the suspected leakage point and leakage assessment, obtaining the scope of the key inspection area; and determining the location of the leakage point through a long-wave radar satellite;

[0048] S4, locating the leakage point, repairing it and conducting a repair acceptance.

[0049] First, according to S1, based on the full polarization image data, the DMA area data is monitored and collected; the DMA area data includes water inlet flow, pressure, and minimum flow data at night. Specifically:

[0050] According to S11, the satellite image acquisition acquires full polarization image data of the target area through long-wave radar satellite acquisition;

[0051] S12, determining the resolution of the full polarization image data according to the size of the target area and the requirement of leakage point identification.

[0052] For satellite image acquisition, select appropriate long-wave radar satellites, such as ALOS-2, Sentinel-1 or Land Exploration-1 satellite, to obtain full polarization image data of the target area. The image resolution should be selected according to the size of the target area and the need for leakage point identification. Generally, the resolution is recommended to be no less than 10 meters. Consider factors such as the satellite revisit cycle and cloudy and rainy weather, and choose the appropriate shooting time to ensure that clear and complete satellite image data is obtained.

[0053] Next, according to S2, S2 specifically includes:

[0054] S21, removing noise and interference information by using an image processing algorithm according to the full polarization image data;

[0055] S22, extracting the dielectric constant in each pixel by using polarization synthetic aperture radar technology according to the full polarization image data;

[0056] S23, analyzing the soil moisture content according to the dielectric constant;

[0057] S24, identifying suspected leakage points according to the change in soil moisture content;

[0058] S25, identifying and marking the suspected leakage points through image segmentation and feature extraction to form a suspected leakage point map.

[0059] The identification of suspected leakage points requires the use of image processing algorithms to filter and denoise satellite images to remove noise and interference information in the image and improve image quality. Polarimetric synthetic aperture radar (PolSAR) technology is used to extract the dielectric constant (ε) of each pixel in the satellite image and analyze the soil moisture content. Suspected leakage points (POIs) are identified based on changes in soil moisture content. The soil moisture content around the leakage point is usually higher than that in normal areas because leakage can cause soil saturation. Image segmentation and feature extraction technology are used to identify and mark suspected leakage points to form a suspected leakage point map.

[0060] Based on the suspected leakage points identified by satellite, it is necessary to combine the DMA data analysis results to further screen the suspected leakage points and determine the leakage points that need to be checked. Monitor and analyze the water inflow flow, pressure, minimum flow at night and other data in the DMA area, evaluate the leakage situation, and issue an early warning. The 1.0 algorithm or 2.0 algorithm can be used to evaluate the existing leakage, and set the early warning threshold according to the DMA historical data to issue an early warning for new leakage. 1.0 algorithm: evaluate based on the net night flow (LMNF) of the DMA and the net night flow per unit pipe length (CMNF). When the CMNF is greater than LMNF+0.34 (L / S), an early warning is given. 2.0 algorithm: first judge by MNF (minimum night flow), then judge by F (average night flow), and focus on the DMA area where the difference is greater than 2.13 L / s. Combined with the DMA data analysis results, further screen the suspected leakage points and determine the leakage points that need to be checked.

[0061] Combine the suspected leakage points identified by satellites with the DMA data analysis results to conduct on-site verification, locate the leakage points and repair them. The leakage points can be located using ground penetrating radar, ground leak detection and other methods. According to the specific conditions of the leakage points, select appropriate repair methods, such as excavation repair, trenchless repair, etc. The repaired leakage points are inspected and accepted to ensure the repair effect.

[0062] Satellite leak detection technology uses long-wave radar satellites to obtain full polarization image data of the target area. The image resolution should meet the requirements of leak point identification. Image processing software is used to pre-process satellite images, extract dielectric constants, analyze soil moisture, and identify suspected leak points (POI). This technology can quickly identify suspected leak points, reduce the scope of ground inspection, and improve leak detection efficiency.

[0063] Satellite leak detection technology reduces the workload of manual leak detection such as ground leak listening, thus reducing leak detection costs. DMA data analysis is used for leak assessment and early warning, further reducing costs.

[0064] Combined with the suspected leakage points identified by satellite and the DMA data analysis results, on-site verification is carried out to locate the leakage points and repair them. The leakage points are located using ground penetrating radar, ground leak detection and other methods to improve positioning accuracy, avoid blind excavation and reduce repair costs.

[0065] Satellite leak detection technology can identify small leaks and avoid greater losses caused by small leaks. DMA data analysis can assess the impact of small leaks on the pipeline network, make timely repairs and prevent leakage from expanding.

[0066] Embodiment 2:

[0067] The embodiment of the present invention provides a water supply network leak detection device based on satellite and DMA partitions, the device comprising:

[0068] An acquisition module is used to acquire full polarization image data of a target area using satellite image acquisition, and extract soil moisture information based on the full polarization image data;

[0069] An analysis module, configured to extract the dielectric constant through preprocessing according to the full polarization image data, and identify the suspected leakage point through leakage assessment;

[0070] A positioning module is used to obtain the scope of the key inspection area based on the suspected leakage point and leakage assessment; and to determine the location of the leakage point through a long-wave radar satellite;

[0071] The repair module is used to locate the leakage point, perform repair processing and conduct repair acceptance.

[0072] In some implementations, the acquisition module is used to monitor and collect DMA area data based on the full polarization image data; the DMA area data includes water inlet flow, pressure, and minimum flow data at night.

[0073] In some implementations, the acquisition module specifically includes:

[0074] An image unit, used for the satellite image acquisition to acquire full polarization image data of the target area through long-wave radar satellite acquisition;

[0075] The processing unit is used to determine the resolution of the full polarization image data according to the size of the target area and the requirement of leakage point identification.

[0076] In some implementations, the parsing module specifically includes:

[0077] An optimization unit, configured to remove noise and interference information through an image processing algorithm according to the full polarization image data;

[0078] An extraction unit, configured to extract the dielectric constant in each pixel by using polarization synthetic aperture radar technology according to the full polarization image data;

[0079] A water unit, used for analyzing the soil water content according to the dielectric constant;

[0080] An identification unit, used to identify suspected leakage points according to the change of soil moisture content;

[0081] The marking unit is used to identify and mark the suspected leakage points through image segmentation and feature extraction to form a suspected leakage point map.

[0082] Embodiment three:

[0083] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions implement the method of embodiment 1 when executed by the processor;

[0084] In practical applications, the processor can be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller unit (MCU), a microprocessor or other electronic components to execute the methods in the above embodiments.

[0085] The method implemented in this embodiment is as shown in the first embodiment.

[0086] Embodiment 4:

[0087] This embodiment further provides a computer storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the method of the first embodiment is implemented;

[0088] Among them, the computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0089] The method implemented in this embodiment is as shown in the first embodiment.

[0090] In the several embodiments provided in the embodiments of the present invention, it should be understood that the disclosed system and method can also be implemented in other ways. The system and method embodiments described above are merely illustrative.

[0091] It should be noted that, in this article, the terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. The terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0092] Although the embodiments disclosed in the present invention are as above, the above contents are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A water supply network leak detection method based on satellite and DMA partitioning, characterized in that: The method comprises: S1, using satellite image acquisition to obtain full polarization image data of the target area; S2, extracting the dielectric constant through preprocessing according to the full polarization image data, and identifying the suspected leakage point through leakage assessment; S3, according to the suspected leakage point and leakage assessment, obtaining the scope of the key inspection area; and determining the location of the leakage point through a long-wave radar satellite; S4, locating the leakage point, repairing it and conducting a repair acceptance; Wherein, the S1 specifically includes: S11, the satellite image acquisition acquires full polarization image data of the target area through long-wave radar satellite acquisition; S12, determining the resolution of the full polarization image data according to the size of the target area and the requirement for leakage point identification; Wherein, the S2 specifically includes: S21, removing noise and interference information by using an image processing algorithm according to the full polarization image data; S22, extracting the dielectric constant in each pixel by using polarization synthetic aperture radar technology according to the full polarization image data; S23, analyzing the soil moisture content according to the dielectric constant; S24, identifying suspected leakage points according to the change in soil moisture content; S25, identifying and marking the suspected leakage points through image segmentation and feature extraction to form a suspected leakage point map; S26, based on the suspected leakage point map, the leakage situation is evaluated and warned by monitoring and collecting DMA area data; the DMA area data includes water inlet flow, pressure, and minimum flow data at night.

2. A water supply network leak detection device based on satellite and DMA partitioning, The method according to claim 1, characterized in that the device comprises: An acquisition module is used to acquire full polarization image data of a target area using satellite image acquisition; An analysis module, configured to extract the dielectric constant through preprocessing according to the full polarization image data, and identify the suspected leakage point through leakage assessment; A positioning module is used to obtain the scope of the key inspection area based on the suspected leakage point and leakage assessment; and to determine the location of the leakage point through a long-wave radar satellite; The repair module is used to locate the leakage point, perform repair processing and conduct repair acceptance.

3. The device according to claim 2, characterized in that The acquisition module specifically includes: An image unit, used for the satellite image acquisition to acquire full polarization image data of the target area through long-wave radar satellite acquisition; The processing unit is used to determine the resolution of the full polarization image data according to the size of the target area and the requirement of leakage point identification.

4. The device according to claim 2, characterized in that The analysis module specifically includes: An optimization unit, configured to remove noise and interference information through an image processing algorithm according to the full polarization image data; An extraction unit, configured to extract the dielectric constant in each pixel by using polarization synthetic aperture radar technology according to the full polarization image data; A water unit, used for analyzing the soil water content according to the dielectric constant; An identification unit, used to identify suspected leakage points according to the change of soil moisture content; The marking unit is used to identify and mark the suspected leakage points through image segmentation and feature extraction to form a suspected leakage point map.

5. An electronic device, characterized in that: The invention comprises a memory and a processor, wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions implement the method as claimed in claim 1 when executed by the processor.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it is used to implement the method as claimed in claim 1.

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